AI Platform Engineer

With us, you actively shape the future in the field of Artificial Intelligence! You are significantly involved in the operation and further development of our AI Platform (OnPrem & Cloud) and drive it forward together with the committed (internal / external) team. We are looking for a personality who never loses sight of the essentials when diving into concepts and code.

What you will achieve

• You are responsible for the operation and further development of the hybrid AI platform (OpenShift & Azure) and ensure stability, scalability, high availability and efficient GPU utilisation.
• You ensure the smooth operation of the AI operations stack (e.g. MLflow, Dagster, vLLM, Triton).
• You are responsible for the deployment and serving of LLM and ML models both on the on-premises platform (OpenShift) and via Azure services (e.g. Azure AI Foundry).
• Operation and optimisation of CI/CD pipelines and infrastructure as code. You define deployment & configuration standards and ensure security, compliance and vulnerability management.
• You ensure a robust data foundation (RDBMS, object storage, NoSQL, backup & recovery) and accompany migrations from and between on-premises and Azure.
• You further develop the AI platform into existing observability stacks and ensure stable platform operation (OpenTelemetry, Splunk, Dynatrace, Azure Monitor).

What you bring

• Education: Master’s degree (university, university of applied sciences)
• Field: Computer Science / Informatics
• Professional experience: At least 5 years in AI engineering / DevOps
• Several years of experience in building and operating AI platforms in hybrid environments with a focus on scalability, automation and high availability.
• Very good knowledge of containerisation, orchestration, automation and deployment patterns (e.g. Kubernetes/OpenShift, AKS, Helm, CI/CD).
• Experience with GPU compute and AI inferencing (e.g. Nvidia GPU Operator, vLLM, Triton) and Azure services (e.g. Azure ML, Azure OpenAI).
• Knowledge in MLOps and agentic AI, especially experiment tracking (e.g. MLflow), orchestration of ML pipelines (e.g. Dagster, Azure ML) as well as design and operation of AI agents.
• Good knowledge of databases, object storage, data lifecycle, backup & recovery, monitoring as well as security, vulnerability and identity management (e.g. Azure AD).
• German (C1)
• English (B1)

What we offer you

• Central workplace (GABS): Easily accessible by train (10 minutes from Zurich main station) or car
• Modern infrastructure: Future-oriented and ergonomic workplace
• Flexible workplace / home office: Individual possibilities for home office
• Flexible working hours: Annual working time for all and trust-based working hours for many
• Maternity / paternity leave: 18 weeks for mothers and 4 weeks for fathers
• Childcare: up to CHF 300 per month and child for external childcare
• Occupational pension: Very attractive pension fund with above-average employer contribution
• Social benefits: Optimal coverage for illness and accident "private"
• Employee offers: Annual generous well-being credit

Recruitment process

• Personal video or telephone interview
• Personality / performance test
• Technical interview with case presentation
• Reference check
• Offer & contract issuance (digital)

Contact
Mr Dario D'Agostino
HR Business Partner
DARIO.DAGOSTINO@MIGROSBANK.CH

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